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LotPilot

Turn property documents into structured data.

DEVELOPMENT RECORDED

2026

Development recorded in the project repository. Earlier work may predate this history; this is not a confirmed launch date.
PROJECT TYPE

AI & integrations

BUILT WITH
Next.jsSupabaseOpenAIMCP

The problem

Property-auction work involves finding opportunities, building auctions and lots, tracking apartments and keeping source material understandable as new catalogues, addenda and notes arrive. Teams need one dependable operational record instead of documents and manually maintained lists.

Much of the input is unstructured, but extracting text is only part of the problem: new material may correct an existing lot, every change needs review and organisations must never see one another's records.

The solution

LotPilot is the shared auction workspace for auctions, lots, apartments, documents and team roles. It turns PDFs, photographs, links and free text into structured candidate records and presents proposed additions and corrections for an operator to review before anything changes.

Repeated imports reconcile against existing auctions and lot numbers rather than duplicating them. Source references preserve provenance, and organisation-scoped permissions distinguish editors from viewers across the full platform and its MCP integration.

The decisions behind it

Extraction before commitment
AI prepares a candidate result. Validation and a human review step sit between that result and the auction database.
Re-import means reconcile
The same document may be processed more than once. Stable matching rules decide whether a row creates a lot or updates one.
WHAT IT BRINGS TOGETHER
  • Auction, lot and apartment management
  • AI extraction with review before saving
  • Organisation-scoped MCP integration
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